SAP BODS - BUSINESS OBJECTS DATA SERVICES 4.0 amron

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2 Training Details Course Duration: 40 hours Training + Assignments + Actual Project Based Case Studies Training Materials: All attendees will receive, Assignment after each module, Video recording of every session Notes and study material for examples covered. Access to the Training Blog & Repository of Materials Pre-Requisites: Basics of SQL, Database & Data Warehouse (Free Learning Materials provided for the same). Who Should Join this Training? Someone who is looking for a career in BUSINESS OBJECTS for SAP customers. Someone who is looking for a career in BUSINESS OBJECTS for Non SAP customers. Someone who is working as a SAP BW consultant and wants to learn SAP BODS skills. Someone who is working as a SAP BO consultant and wants to learn SAP BODS skills. Training Format: This course is delivered as a highly interactive session, with extensive live examples. This course is Live Instructor led Online training delivered using Cisco Webex Meeting center Web and Audio Conferencing tool. Timing: Weekdays and Weekends after work hours. 1

3 Roadmap Training Highlights Focus on Hands on training Project Based Assignments & Case Studies Integration with SAP BW 7.3 (as Source & Target), BW 7.3(Open Hub destinations) ECC and CRM extractors in BODS 4.0 ABAP Data Flows in BODS 4.0 SAP BODS with ECC 6.0 & CRM as Source 2

4 Designing Operational & Agile Data Marts in SAP HANA 1.0 SP4 using SAP BODS 4.0 SAP BODI Certification Guidance Certificate of Participation at the end. Modules Covered in this Training In this training, attendees learn: Module 1. Data warehousing concepts Module 2. Understanding Data Integrator Module 3. Defining source and target metadata Module 4. Validating, tracing, and debugging jobs Module 5. Creating a batch job Module 6. Using built-in transforms and nested data Module 7. Using built-in functions Module 8. Using Data Integrator Scripting Language and Variables Module 9. Capturing Changes in Data Module 10. Handling errors and auditing Module 11. Supporting a multi-user environment Module 12. Migrating Projects Module 13. Using the Administrator Module 14. Profiling Data Module 15. Managing Metadata Module 16. Data Quality Management Attendees also learn 1. Resume Preparation Guidelines and Tips 2. Mock Interviews and Interview Preparation Tips Topics Covered Data warehousing concepts 1. Describe dimensional modeling Understanding Data Integrator 1. Describe components, management tools, and the development process 2. Explain object relationship 3

5 Defining source and target metadata 1. Create a database data store and import metadata 2. Create a new file format and handle errors in file formats Validating, tracing, and debugging jobs 1. Use description and annotations 2. Validate and trace jobs 3. Use view data and the Interactive Debugger Creating a batch job 1. Create a project, job, work flow, and data flow 2. Use the query transform in a data flow 3. Use template tables Using built-in transforms and nested data 1. Use the case, merge, and validation transforms 2. Import metadata from XML documents 3. Use the XML pipeline in a data flow Using built-in functions 1. Use date and time functions and the date generation transform to build a dimension table 2. Use the lookup functions to look up status in a table 3. Use match pattern functions to compare input strings to patterns 4. Use database type functions to return information on data sources Using Data Integrator Scripting Language and Variables 1. Explain differences between global and local variables 2. Create global variables and custom functions 3. Use strings and variables in Data Integrator scripting language Capturing Changes in Data 1. Use Change Data Capture (CDC) with time-stamped sources 2. Create an initial and delta load job 3. Use history preserving transform Handling errors and auditing 1. Recover a failed job 4

6 2. Create a manual, recoverable work flow 3. Define Audi points, rules and actions on failures Concepts of SAP BW 7.3 on HANA 1. BW 7.3 powered by SAP HANA 2. In-memory optimized Infocubes 3. In-memory optimized DSO s 4. Migration concepts of BW 7.3 on traditional Database to BW 7.0 on SAP HANA 5. Migrating standard Infocubes to In memory optimized Infocubes using migration Tool 6. Migrating standard DSO s to In-memory optimized DSO s using migration Tool 7. Customer Testimonials Supporting a multi-user environment 1. Describe terminology and repository types in a multi-user environment 2. Create and activate the central repository 3. Work with objects in the central repository Migrating Projects 1. Work with projects in the central repository 2. Implement and modify group permissions Using the Administrator 1. Add a repository and user roles 2. Set the job status interval and log retention period 3. Execute, schedule, and monitor batch jobs 4. Understand architecture, load balance index, and job execution in server groups Profiling Data 1. Set up the Data Profiler and users 2. Submit a profiling task 3. Monitor profiling tasks in the Administrator Managing Metadata 1. Import and export metadata 2. Use Metadata Reports Data Quality Management 1. Connecting to SAP Applications 2. ABAP data Flow processing Using Data services 3. IDoc interface connectivity Using Data services 5

7 4. SAP Application table source in real jobs using Data services 5. Executing Batch jobs that contain ABAP Data flows 6. Connecting to SAP Net weaver Business warehouse 7. Using Data services in SAP NW BW environments 8. Defining SAP Net Weaver BW Data stores Using Data services 9. Loading into SAP NW BW Using Data services CASE STUDY # 1 "Creation of Universe" Creation of Universe from scratch (Manufacturing Domain) In this Case study we will be creating a Universe from the beginning for a Manufacturing Domain. This Case Study also illustrates different types of challenges you will face while designing the Universe in the real-time working environment. Tasks: Designing the schema Defining cardinalities and Joins Defining Classes and Objects and setting the properties according to business requirements Detecting and resolving the loops using aliases and context Detecting and resolving SQL traps like chasm and fan traps Applying restrictions on Objects and Using Hierarchies and List of values and Managing Universe CASE STUDY # 2 "Creation of Web-i Report" Creation of Web intelligence report with auto scheduling: The Purpose of this Case Study is to explore all the features of Web Intelligence while working on real-time projects. Here are some of the tasks involved in creation of a Web-i report. Tasks: Creating Web Intelligence documents with queries Restricting Data returned by a Query. Enhancing the presentation of data in the reports Different types of Formatting Options Calculating the data with Formulas and Variables. CASE STUDY # 3 "Creation of Corporate Dashboard" Creation of Corporate dashboard for Supply chain mgmt. (Banking Domain): This case study is an Example of how to create the Corporate dashboard report by exploring different types of charts in Xcelcius like Line charts, Column charts, Pie Charts. 6

8 Copyright Amron IT Solutions & Resource Management All Rights Reserved. No part of this document or website may be reproduced without Amron IT Solutions & Resource Management s express consent. 7

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